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touchless fingerprint recognition ppt

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Created at: Monday 21st of January 2013 11:55:15 AM
Last Edited Or Replied at :Tuesday 22nd of January 2013 01:11:26 PM
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drawbacks of touch based fingerprints. To overcome the above
limitations, touch-less fingerprint technology came into
existence..................[:=> Show Contents <=:]

Touch-less Fingerprint Recognition System

Posted by: nimika
Created at: Tuesday 15th of February 2011 01:49:24 AM
Last Edited Or Replied at :Tuesday 13th of December 2011 10:16:04 PM
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hi, iwant information about matlab based project-Touch-l..................[:=> Show Contents <=:]

Neural Networks for Unicode Optical Character Recognition

Posted by: computer science crazy
Created at: Thursday 17th of September 2009 11:57:50 AM
Last Edited Or Replied at :Thursday 20th of October 2011 11:29:03 PM
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is not trained for, thus solving the proximity issue. Both concepts will be discussed in the introduction part of this report.The project has employed the MLP technique mentioned and excellent results were obtained for a number of widely used font types. The technical approach followed in processing input images, detecting graphic symbols, analyzing and mapping the symbols and training the network for a set of desired Unicode characters corresponding to the input images are discussed in the subsequent sections. Even though the implementation might have some limitations in terms of functionalit..................[:=> Show Contents <=:]


Posted by: Computer Science Clay
Created at: Saturday 13th of June 2009 10:46:16 PM
Last Edited Or Replied at :Monday 14th of January 2013 01:37:23 AM
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lgorithm to capture, process, compare the sample with the one stored in the database. We can also track the lip movement which is also fed to the synergetic computer. Observing the likelyhood each of the samples with the one stored in the database we can accept or reject the sample.
An example Visionics, company based in a New Jersey is one of the many developers of facial recognition technology. The twist to its particular software, Face it is that it can pick someone's face from the rest of the scene and compare it to a database full of st..................[:=> Show Contents <=:]

authentication based on IRIS RECOGNITION

Posted by: Computer Science Clay
Created at: Saturday 06th of June 2009 02:47:13 PM
Last Edited Or Replied at :Friday 24th of February 2012 11:38:43 PM
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iris recognition is related to scanning eyes and authenticating similar to finger print authentication.we scan the t..................[:=> Show Contents <=:]

Artificial Intelligence for Speech Recognition

Posted by: Computer Science Clay
Created at: Saturday 28th of February 2009 11:17:28 PM
Last Edited Or Replied at :Monday 06th of February 2012 11:07:20 PM
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guage Processing (NLP) refers to Artificial Intelligence methods of..................[:=> Show Contents <=:]

An Efficient Algorithm for iris pattern Recognition using 2D Gabor Wavelet Trans

Posted by: computer science crazy
Created at: Sunday 21st of September 2008 01:06:40 AM
Last Edited Or Replied at :Saturday 09th of March 2013 05:46:32 AM
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formation resulting in continuos range, multi-tone images.

A digital image can be defined to be a numerical representation of an object or more strictly to be sampled, quantized function of two dimensions which has been generated by optical means, sampled in an equally spaced rectangular grid pattern, and quantized in equal intervals of graylevel.

The word is crying out for the simpler access controls to personal authentication systems and it looks like biometrics may be the answer. Instead of carrying bunch of keys, all those access cards or passwords you carry around with you, your bo..................[:=> Show Contents <=:]

Automatic Number Plate Recognition

Posted by: computer science crazy
Created at: Sunday 21st of September 2008 12:47:32 AM
Last Edited Or Replied at :Monday 08th of July 2013 05:00:46 PM
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e required size
3.Normalisation - adjusts the brightness and contrast of the image
4.Character segmentation - finds the individual characters on the plates
5.5.Optical character recognition6.Syntactical/Geometrical analysis - check characters and positions against country specific rules

oPoor image resolution, usually because the plate is too far away but sometimes resulting from the use of a low-quality camera.
oBlurry images, particularly motion blur and most likely on mobile units
oPoor lighting and low contrast due to overexposure, reflection or shadows
oAn object obscuring..................[:=> Show Contents <=:]

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